WHEN ALGORITHMS MEET REGULATION: AI'S ROLE IN FINTECH AND LAW
Abstract
Artificial intelligence and fintech have moved from peripheral innovations to core infrastructure in payments, lending, investment, insurance, compliance, and public supervision. This technological shift is not merely operational. It changes how law is made, interpreted, enforced, and experienced by individuals and firms. The article analyses how AI driven fintech transforms modern law through new regulatory objectives, new forms of responsibility, new compliance architectures, and new tensions between innovation and fundamental rights. Using a doctrinal and comparative approach, it explores the evolution from entity based oversight to activity and risk based governance, the growing role of technical standards and supervisory technology, the reconfiguration of consumer protection in an era of personalised pricing and automated decision making, and the emergence of systemic risks tied to model opacity, third party dependencies, and concentration of digital infrastructures. The paper concludes with a principles based regulatory design for trustworthy AI in finance and proposes a coherent legal toolkit combining governance duties, auditability, data rights, operational resilience, and cross border cooperation.
Fields of Study & Subjects
Digitalization
Law
and Regulation
FinTech
Crowdfunding
Digital Finance
Artificial Intelligence in Law
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 March 2026
- Language
- EN
- Document type
- Dataset